Khera Zain, Illenberger Nicholas, Sherman Scott E
NYU Grossman School of Medicine, New York, NY, USA.
Department of Population Health, Seventeenth Floor, NYU Langone Health, New York, NY, USA.
J Gen Intern Med. 2025 Mar;40(4):749-755. doi: 10.1007/s11606-024-09071-4. Epub 2024 Oct 2.
Tobacco use continues to take the lives of many, and targeted interventions can counter this health burden. One possible target population is patients who have had a smoking-related diagnosis, as they may have a greater drive to quit.
To assess whether patients with previous cardiac or pulmonary conditions directly attributable to smoking have greater rates of abstinence post-discharge from hospitalization in the CHART-NY trial.
CHART-NY was a randomized comparative effectiveness trial comparing a more intensive versus a less intensive smoking cessation intervention after hospital discharge. We divided the 1618 CHART-NY participants into a smoking-related history group of 597 and a nonsmoking-related history group of 1021 based on cardiac or pulmonary conditions in a retrospective chart review. We conducted chi-squared analyses on baseline characteristics. Using follow-up survey data, we conducted chi-squared analyses on abstinence outcomes and made logistic regression models for the predictive value of smoking-related conditions on abstinence.
A total of 1059 and 1084 participants in CHART-NY who completed both 2- and 6-month follow-up surveys respectively.
Self-reported 30-day abstinence at 2- and 6-month follow-up and survey data for baseline characteristics.
Those abstinent at 6-month follow-up were more likely to have a smoking-attributable history (OR = 1.40, 95% CI 1.09-1.81). When stratified based on intervention, only the intensive counseling group was significant (OR = 1.53, 95% CI 1.08-2.17). The regression model using a smoking-related comorbidity score was significant at 6 months (OR = 1.29, p = 0.03), and the multivariate logistic regression model analyzing each smoking-related condition separately demonstrated significance for myocardial infarction at 6 months (OR = 1.66, p = 0.03).
People who smoke who have experienced smoking-related conditions may be more likely to benefit from smoking cessation interventions, especially intensive telephone-based counseling. Multiple conditions had an additive effect in predicting long-term abstinence after intervention, and myocardial infarction had the greatest predictive value.
烟草使用持续夺走许多人的生命,针对性干预措施可应对这一健康负担。一个可能的目标人群是有吸烟相关诊断的患者,因为他们可能有更强的戒烟动力。
在CHART-NY试验中,评估既往有直接归因于吸烟的心脏或肺部疾病的患者出院后戒烟率是否更高。
CHART-NY是一项随机对照有效性试验,比较出院后强化与非强化戒烟干预措施。通过回顾性病历审查,我们将1618名CHART-NY参与者分为有吸烟相关病史组597人及无吸烟相关病史组1021人,依据心脏或肺部疾病情况划分。我们对基线特征进行卡方分析。利用随访调查数据,我们对戒烟结果进行卡方分析,并建立逻辑回归模型,分析吸烟相关疾病对戒烟的预测价值。
CHART-NY中分别完成2个月和6个月随访调查的1059名和1084名参与者。
在2个月和6个月随访时自我报告的30天戒烟情况以及基线特征的调查数据。
在6个月随访时戒烟的人更有可能有吸烟归因病史(比值比=1.40,95%置信区间1.09 - 1.81)。按干预措施分层时,仅强化咨询组有显著差异(比值比=1.53,95%置信区间1.08 - 2.17)。使用吸烟相关合并症评分的回归模型在6个月时具有显著性(比值比=1.29,p = 0.03),单独分析每种吸烟相关疾病的多变量逻辑回归模型显示,心肌梗死在6个月时具有显著性(比值比=1.66,p = 0.03)。
有吸烟相关疾病的吸烟者可能更有可能从戒烟干预措施中获益,尤其是强化电话咨询。多种疾病在预测干预后的长期戒烟方面具有累加效应,心肌梗死的预测价值最大。